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• W2038814506 abstract "Previous analytical results on the resilience of unstructured P2P systems have not explicitly modeled heterogeneity of user churn (i.e, difference in online behavior) or the impact of in-degree on system resilience. To overcome these limitations, we introduce a unifying model of heterogeneous user churn and derive the distribution of the various metrics observed in prior experimental studies. We also show that the arrival process of in-edges to each user converges to Poisson when system size tends to infinity, model transient behavior of in-degree, and apply these results to obtain the joint in/out-degree isolation probability." @default.
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• W2038814506 date "2014-09-01" @default.
• W2038814506 modified "2023-09-23" @default.
• W2038814506 title "Unifying Models of Churn and Resilience for Unstructured P2P Graphs" @default.
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• W2038814506 doi "https://doi.org/10.1109/tpds.2013.163" @default.
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